Job Summary :

We are seeking an experienced and hands-on Sr. DevOps Engineer to join our Cloud Platform team. The ideal candidate will design, implement, and maintain enterprise-scale infrastructure deployment frameworks using Terraform, Kubernetes, and Azure DevOps.

Key Responsibilities :

- Infrastructure as Code : Design, develop, and maintain Terraform compositions and reusable modules for Azure resources including AKS, ACR, SQL Managed Instance, Key Vault, VNets, and Application Gateway.

- Kubernetes & Container Management : Deploy and manage private AKS clusters with proper RBAC, cert-manager, ingress controllers, and namespace isolation.

- Helm Chart Development & Integration : Develop, customize, and manage Helm charts for application deployments.

- CI/CD Pipeline Development : Build and maintain Azure DevOps pipelines using YAML templates with a script-first approach.

- Configuration Management : Develop and enhance config-driven deployment systems where YAML configurations generate Terraform tfvars and pipeline definitions.

- Scripting & Automation : Write production-quality PowerShell modules following structured patterns.

- AI-Assisted Development : Leverage AI coding agents (e.g., Claude Code, GitHub Copilot) to accelerate development and improve code quality.

- Multi-Environment Architecture : Support deployment across multiple client projects and environments with proper isolation and security boundaries.

- Security & Compliance : Implement secure infrastructure patterns including private endpoints, network segmentation, and managed identities.

Tech Stack :

- Cloud : Azure (AKS, ACR, SQL Managed Instance, Key Vault, VNets)

- IaC : Terraform

- CI/CD : Azure DevOps, YAML pipelines

- Containerization : Kubernetes, Helm

- Scripting : PowerShell, Bash

- AI Tools : Claude Code, GitHub Copilot, Cursor

Qualifications :

- Bachelor's degree in Computer Science, Engineering, or a related technical field.

- 5+ years of hands-on experience with infrastructure automation and DevOps practices in production environments.

- Strong proficiency in Terraform, Azure Cloud, Kubernetes, and Azure DevOps Pipelines.

- Demonstrated experience using AI coding agents as part of daily development workflow.